Evidence map›Paper›PMID 32557038›Full record

ArticleEnvironmental science and pollution research international2020

Simulation of lead fume emissions in the workplace using computational fluid dynamics in the electronics industry.

Somayeh Rahimi Moghadam, Mahmoud Mohammadyan, Amin Markani, Narges Khanjani, Mahdi Jalali

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Somayeh Rahimi MoghadamOccupational Health Engineering, Department of Occupational Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran. S.rahimimoghadam@gmail.com.
Mahmoud MohammadyanHealth Sciences Research Center, Department of Occupational Health Engineering, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Amin MarkaniDepartment of Mechanical Engineering, Islamic Azad University, Neyshabur, Iran.
Narges KhanjaniEnvironmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Mahdi JalaliOccupational Health Engineering, Department of Occupational Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran.

Funding

Mazandaran University of Medical Sciences -Neyshabur university of medical Sciences -
6 · The paper itself

Abstract

Computational fluid dynamics (CFD) is a powerful method for predicting the release of pollutants in the workplace and has recently been used as a valuable tool by health authorities. The purpose of this study was to predict the distribution of lead fume in the workplace using computational fluid dynamics in the electronics manufacturing industry. A cross-sectional descriptive and analytical study was conducted in the Neyshabur electronics industry (2019). Individual exposure to lead fume was measured by the OSHA121 method. Simulation and prediction of lead fume emission in the workplace were done using computational fluid dynamics and by the ANSYS16 software. The mean of personal exposure to lead fumes was 0.04 ± 0.01 mg/m

Indexed as

Air Pollutants, OccupationalCross-Sectional StudiesHumansHydrodynamicsLeadOccupational ExposureWorkplaceAir Pollutants, OccupationalLeadComputational fluid dynamicsElectronic industriesLeadOccupational exposureSimulation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.